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software engineer - backend

distributed systems engineer

Plaid

<div>
 We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
 
 
 Plaid&rsquo;s Platform Engineering organization comprises multiple teams focused on core infrastructure, data platforms, storage, privacy, and developer efficiency. Together, these teams ensure that Plaid&rsquo;s technology platform is scalable, reliable, and secure to support our rapid growth. Our infrastructure handles millions of requests per day, and we pride ourselves on maintaining highly robust and performant systems. As a Platform Engineer, you will design, build, and maintain the foundational infrastructure and internal platforms that empower all of Plaid&rsquo;s engineering teams to move quickly and safely. You&rsquo;ll work cross-functionally with product engineering squads to ship new features and ensure operational excellence throughout each product&rsquo;s lifecycle.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design &amp; Develop Scalable Systems: Build and maintain core platform services with a focus on performance, reliability, and scalability. You will create and evolve distributed backend systems that serve as the bedrock for products used by millions of users.
 </li>
 <li>
 Infrastructure &amp; Data Platforms: Develop and improve infrastructure for data storage and processing &ndash; for example, high-performance databases and modern data processing frameworks &ndash; to handle Plaid&rsquo;s growing data and product needs. Ensure our data infrastructure is robust and can scale effectively.
 </li>
 <li>
 Developer Productivity Tools: Create internal tools, frameworks, and automation to improve developer productivity and efficiency. This includes building CI/CD pipelines, observability and monitoring systems, and self-service infrastructure platforms that enable teams to ship code quickly and safely.
 </li>
 <li>
 Security &amp; Privacy by Design: Integrate security, privacy, and compliance best practices into our platforms (e.g. data encryption, access controls, audit logging) to protect sensitive financial data. Work closely with Security and Privacy teams to ensure our infrastructure and internal services meet high standards for data protection and regulatory compliance.
 </li>
 <li>
 Cross-Team Collaboration: Work hand-in-hand with product engineers and other stakeholders to understand requirements and translate them into reliable platform capabilities. Facilitate smooth integration of platform solutions into various products, and coordinate across teams to resolve issues and deliver new features efficiently.
 </li>
 <li>
 Technical Excellence &amp; Leadership: Uphold high engineering standards through code reviews, testing, and documentation. Take initiative in setting technical direction and architecture for platform systems, and mentor junior engineers to help grow their skills. You will lead by example in driving best practices and continuously improving the quality of our engineering solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Experience: 2 to 4 years of software engineering experience, with a proven track record of building and shipping complex backend systems or platforms. Experience designing and scaling distributed systems is highly desired.
 </li>
 <li>
 Strong Coding Skills: Proficiency in at least one general-purpose programming language (e.g. Go, Python, Java, C++). Our core services are built largely in Go, so experience with Go is a plus. You write clean, efficient, and maintainable code and have solid computer science fundamentals.
 </li>
 <li>
 Distributed Systems &amp; Problem Solving: Deep understanding of system design and algorithms. Hands-on experience with designing, building, and operating distributed systems or microservices architectures at scale. Ability to debug complex issues in a production environment and optimize system performance and reliability.
 </li>
 <li>
 Data and Databases: Familiarity with relational and NoSQL database technologies (for example, MySQL/TiDB, PostgreSQL, MongoDB) and data storage architectures. Experience building data pipelines or working with big data processing frameworks (Spark, Databricks, etc.) is a plus.
 </li>
 <li>
 Collaboration &amp; Communication: Excellent communication and teamwork skills, with the ability to work effectively in a cross-functional environment. You can collaborate closely with other engineers, product managers, and stakeholders, and you&rsquo;re able to explain complex technical concepts in simple terms when needed.
 
 
 </li>
 </ul>
 $163,200 - $223,200 a year
 
 
 Target base salary for this role is between $163200 and $223200 per year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
 
 
 Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
 
 
 Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
 
 
 Please review our Candidate Privacy Notice here .
</div>

Software Engineer - Platform

Tatari

<div>
 Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brands&mdash;like Calm, Vuori, Rocket Money, and hundreds more&mdash;to grow their business using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience. Our technology and services are pushing the industry forward, enabling businesses of any size to advertise on TV.
 
 
 Named one of the 16 Hottest Ad Tech Companies by Business Insider and Best Places to Work by Inc. Magazine, Tatari is experiencing rapid growth. Our executive team is comprised of former founders and senior leaders at fast-rising startups like Shazam, TrueCar, AdapTV, and LiveRail and larger, more established tech companies like Amazon, Google, Meta, Microsoft, and Yahoo.
 
 
 We are looking for Backend Engineers to join Tatari. As a Backend Engineer, you will play a key role in the evolution and scaling of our platform. You&rsquo;ll participate in system architecture decisions, develop best practices, and ship high-quality code to production. At Tatari you are empowered to do your best work at a sustainable pace with a stellar group of smart, creative, and humble human beings. Come help us build a television first programmatic buying experience!
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Write clean, concise application code in modern Python
 </li>
 <li>
 Participate in technical architecture discussions and peer code reviews
 </li>
 <li>
 Drive architectural changes such as enhanced data pipelines and scalable APIs
 </li>
 <li>
 Collaborate cross-departmentally to understand business needs and develop new product features
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 3+ years developing software with object-oriented and/or functional programming languages - Python required
 </li>
 <li>
 2+ years building distributed systems at scale
 </li>
 <li>
 2+ years with a modern data stack (RDS, Databricks, Spark, Redshift, Kafka, Airflow,, lakehouse architectures, real-time databases, dbt, etc.)
 </li>
 <li>
 Deep SQL and data modeling expertise
 </li>
 <li>
 Nice to have:
 </li>
 <ul>
 <li>
 Experience developing API frameworks (e.g. REST, gRPC, GraphQL)
 </li>
 <li>
 Interest in developing AI/ML-enabled features
 </li>
 <li>
 Experience enhancing development processes by leveraging agentic coding tools while maintaining a high bar for quality (e.g. Cursor)
 
 </li>
 </ul>
 </ul>
 
 Benefits:
 
 
 
 <ul>
 <li>
 Total compensation ($120,000-175,000/annually)
 </li>
 <li>
 Equity compensation
 </li>
 <li>
 Health insurance coverage for you and your dependents, with minimum contribution and buy-up plans
 </li>
 <li>
 Unlimited PTO and sick days
 </li>
 <li>
 Snacks, drinks, and catered lunches at the office
 </li>
 <li>
 Team building events
 </li>
 <li>
 $1,000 annual continued education benefit
 </li>
 <li>
 $500 WFH reimbursement
 </li>
 <li>
 $150 Monthly work-related stipend
 </li>
 <li>
 FSA and commuter benefits
 </li>
 <li>
 Monthly Company Wellness Day Off
 </li>
 <li>
 Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION
 
 
 </li>
 </ul>
 At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.
 
 
</div>

Software Engineer, Backend

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/ 
 
About Us: 
 
Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. 
We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process. 
 
About the Role 
 
IVS is building the future of interactive video. The Video Server Platform Processing team is seeking an experienced back end distributed systems developer to lead the design and development of our next generation video processing system. This role is focused on the design and development of systems that process all incoming media into IVS(live streams, VOD, ads and clips) and implement new contribution protocols at the edge(SRT, RTMP, Enhanced RTMP). If you&rsquo;re excited by the idea of building back end services that operate at a worldwide scale, and have an interest in live video and media processing pipelines that operate throughout the world then this position is for you.
 
 
You can work in San Francisco, CA or Seattle, WA. 
 
You Will 
<ul><li>Lead the architecture, design, and implementation of successful internet-scale systems and services to support the IVS Media processing systems.
</li><li>Contribute with code and system design to the ecosystem of our services, frameworks and libraries
</li><li>Develop maintainable services and libraries using Golang and AWS platform</li><li>Build robust, operable, and maintainable distributed software systems</li><li>Operate and improve automation to scale systems and services throughout the world.</li></ul> 
Perks 
<ul><li>Medical, Dental, Vision &amp; Disability Insurance</li><li>401(k)</li><li>Maternity &amp; Parental Leave</li><li>Amazon Employee Discount</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>4+ years of professional software development experience.</li><li>Passionate for software development and expertise in building large-scale distributed systems and services</li><li>Possess a B.S. degree in Computer Science, Math, or an Engineering discipline</li><li>Constantly improving engineering practices across the team including developing maintainable and evolvable software, meaningful testing, and operations</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>You understand media systems and formats including familiarity with some/all of ISO/IEC 13818-1 (MPEG transport streams), 14496-10 (H.264 slice layer and above), 14496-12 (ISO Base Media File Format), RFC 8216 (HTTP Live Streaming)</li><li>Experience working with AWS Services(EC2, ECS, S3, SNS, SQS, Kinesis, Lambda etc) and operating them at scale</li><li>Experience with media protocols such as RTMP, SRT, eRTMP, WebRTC etc</li><li>Experience with building software services using GoLang and Rust.</li></ul> 
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Development Engineer

OpenAI

About the Team
 
OpenAI’s Inference team ensures that our most advanced models run efficiently, reliably, and at scale. We build and optimize the systems that power our production APIs, internal research tools, and experimental model deployments. As model architectures and hardware evolve, we’re expanding support for a broader set of compute platforms - including AMD GPUs - to increase performance, flexibility, and resiliency across our infrastructure.
 
We are forming a team to generalize our inference stack - including kernels, communication libraries, and serving infrastructure - to alternative hardware architectures.
 
About the Role
 
We’re hiring engineers to scale and optimize OpenAI’s inference infrastructure across emerging GPU platforms. You’ll work across the stack - from low-level kernel performance to high-level distributed execution - and collaborate closely with research, infra, and performance teams to ensure our largest models run smoothly on new hardware.
 
This is a high-impact opportunity to shape OpenAI’s multi-platform inference capabilities from the ground up with a particular focus on advancing inference performance on AMD accelerators.
 
In this role, you will: 
Own bring-up, correctness and performance of the OpenAI inference stack on AMD hardware.
 
Integrate internal model-serving infrastructure (e.g., vLLM, Triton) into a variety of GPU-backed systems.
 
Debug and optimize distributed inference workloads across memory, network, and compute layers.
 
Validate correctness, performance, and scalability of model execution on large GPU clusters.
 
Collaborate with partner teams to design and optimize high-performance GPU kernels for accelerators using HIP, Triton, or other performance-focused frameworks.
 
Collaborate with partner teams to build, integrate and tune collective communication libraries (e.g., RCCL) used to parallelize model execution across many GPUs.
 
You can thrive in this role if you: 
Have experience writing or porting GPU kernels using HIP, CUDA, or Triton, and care deeply about low-level performance.
 
Are familiar with communication libraries like NCCL/RCCL and understand their role in high-throughput model serving.
 
Have worked on distributed inference systems and are comfortable scaling models across fleets of accelerators.
 
Enjoy solving end-to-end performance challenges across hardware, system libraries, and orchestration layers.
 
Are excited to be part of a small, fast-moving team building new infrastructure from first principles.
 
Nice to Have: 
Contributions to open-source libraries like RCCL, Triton, or vLLM.
 
Experience with GPU performance tools (Nsight, rocprof, perf) and memory/comms profiling.
 
Prior experience deploying inference on other non-NVIDIA GPU environments.
 
Knowledge of model/tensor parallelism, mixed precision, and serving 10B+ parameter models.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$325K – $490K + Offers Equity

Software Engineer, Inference – AMD GPU Enablement

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA; San Jose, CA, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>8 years of experience in software development.</li>
<li>7 years of experience building and developing large-scale infrastructure, distributed systems or networks or experience with compute technologies, storage or hardware architecture.</li>
<li>5 years of experience with design and architecture; and testing/launching software products.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>PhD in computer science, AI, distributed systems, machine learning, or a related field.</li>
<li>5 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
In this role, you will be a part of a cross-functional team with a set of skills spanning research, prototyping, and production mobile development that will drive the boundaries of how headsets and glasses unlock new capabilities for users.
You will be working with some of the most cutting-edge technical developments (e.g., generative AI, agentic systems) across all modalities. Work on one of the best form factors for fully uncovering the potential of AI agents. Collaborate with excellent cross-functional partners (Product Management, User Experience, Program Management, and User Experience Research) to develop completely new user interfaces for people to interact with head-worn devices. Work with a fun group of people who enjoy working together to make new experiences come to life.
For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap &ndash; the convergence of AI and XR. This is more than just new devices &ndash; it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.
The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Define roadmap for Extended Reality (XR) Interfaces powered by AI conversational agents that supports a healthy balance of innovation, user research, and industry trends to push the boundaries of how users interact with headsets and glasses.</li>
<li>Partner closely with the broader Applied AI teams, XR developer team, App teams and Google deepmind teams to align development with real-world use cases and tests.</li>
<li>Approach to software design, architecture, and coding standards to ensure the highest quality and scalability of XR's AI-driven system interface.</li>
<li>Lead, mentor, and develop top engineering talent across the XR Human Interface team.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Technical Lead, Human Interfaces, Extended Reality

Uber

<div>About the Role
 
 
The Sentinel team is dedicated to building a unified Refunds and Appeasements (R&amp;A) platform to centralize all support-initiated payouts within Uber. This role offers the chance to drive key architectural decisions for high-stakes transaction processing, aiming to accelerate experimentation velocity and significantly reduce operational risk through centralization and consistent enforcement mechanisms. You will be critical in delivering platform foundational work with an emphasis on using AI tools and solutions in an effective and creative manner. 
 
What the Candidate Will Need / Bonus Points
- What the Candidate Will Do -<ul><li>
Ideate on ways to fundamentally shift how the organization operates (creativity is highly encouraged!).</li><li>
Design, implement, and operate core platform APIs that orchestrate crucial financial decisioning and money movement transactions.</li><li>
Drive continuous integration and adoption of AI tools into the team's development workflow to achieve demonstrable efficiency gains in code authoring and testing.</li><li>
Develop robust configuration management structures to govern optimization rules, risk compliance mandates, and eligibility checks across various R&amp;A flows.</li></ul>
- Basic Qualifications -<ul><li>
Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 5+ years of full-time engineering experience.</li><li>
Experience in hands-on software development with thoughtfulness of scale, latency and distributed architecture.</li><li>
Highly efficient coding in Golang, Java or any similar languages.</li><li>
Experience designing and maintaining highly reliable systems with high availability and strong consistency requirements, handling crucial operational data.</li><li>
Demonstrated ability to lead technical design for complex platform features.</li></ul>
- Preferred Qualifications <ul><li>-</li><li>
Proven ability to use AI across the software development cycle, utilizing tools for such as Cursor and Claude for code generation, unit test authoring, and complex documentation/design (e.g., flowcharts, runbooks, architectural documents).</li><li>
Experience engaging with and working side-by-side with Senior+ engineers from different organizations.</li><li>
Expertise in integrating complex risk and abuse mitigation checks (such as Persistence Limiters, Factual Defects, or third-party Risk Assessor calls) directly within core transactional flows.</li><li>
Proven ability to lead and coach junior engineers on the team.</li><li>
Proven background implementing and enforcing core transaction tenets such as idempotency and atomicity in distributed service architectures.</li></ul> 
For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Sr. Software Engineer

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Join a team building the Service Mesh and Ingress Gateway load balancing and proxy platform.
The Microservices Platform Service Mesh team is building a highly scalable and distributed load balancing and gateway service to front all customer traffic coming into Salesforce. We provide simple declarative interfaces for L4/L7 load balancing, TLS termination, end-to-end encryption, along with support for richer traffic policies such as blue/green deployments, access control, etc. The team owns the application networking layer and enables secure, resilient, observable communication. The team develops and manages the Salesforce API Platform&rsquo;s runtime plane that applies API policies, handles requests, and enforces security. We&rsquo;re responsible for the execution of sophisticated routing rules to the appropriate upstream services. The runtime plane is a dedicated extensible infrastructure layer facilitating service-to-service and customer-to-service communication via proxies managed by the control plane such that policies can be applied at these proxies. The runtime plane is built using Envoy and Istio. It is extensible and features are built into these proxies or are integrations at these proxies with no change to actual services.
We are looking for people who can drive the design and implementation of the next generation Ingress Gateway data plane and control plane. We intend to transform our current software stack to adopt more cloud native primitives to build a more reliable, scalable, and feature-rich service mesh. Our software stack is based on leading edge open source software like Envoy for data plane and Istio for control plane. The opportunities to enhance the capabilities of the OSS software and contribute back to the community are immense. The team has already made active upstream contributions to the Envoy project. We intend to transform the way our north-south traffic is secured, load balanced and proxied before entering our core service mesh. We are looking to add experienced distributed systems engineers who are passionate, hungry for new challenges, can step up and own large areas of that vision.
Some attributes of successful candidates: 
<div> 
<ul><li>Passion for service ownership, building reliable, and self-healing services.
</li><li>Proven ability to work in complex team environments and deliver under pressure with dependency constraints.
</li><li>Expertise in building large scale distributed systems, especially in public cloud environments (i.e. AWS, GCP).
</li><li>Skilled in balancing live-site management, feature delivery, and retirement of technical debt.
</li><li>Familiarity with crash-only and recovery-oriented software design.
</li><li>Proficient in designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers.
</li><li>Capable of driving and delivering thin slices of end-to-end functionality on a regular cadence with data-driven feedback loops.
</li></ul></div>Requirements:
<ul><li>2+ years of development experience.
</li><li>Proficiency with Golang, Java and/or C++ in a Linux/UNIX data center environment.
</li><li>Experience in operating large scale cluster management systems (e.g. Kubernetes) of a mission critical service.
</li><li>Strong knowledge of network technologies, such as TCP/IP, DNS, TLS termination, HTTP proxies, network load balancing, etc.
</li><li>Experience with cloud infrastructure automation tools, frameworks, workflows, and validation platforms.
</li><li>Working knowledge of CI/CD, configuration management and Infrastructure as Code principles (e.g. Spinnaker, Terraform).
</li><li>Experience with Agile development methodology (e.g. Scrum) and Test-Driven Development, with attention to code quality, and delivering secure code.
</li><li>Participation in the team&rsquo;s on-call rotation to address complex problems in real-time and keep services operational and highly available.
</li><li>Experience in using telemetry and metrics to drive operational excellence.
</li><li>Deliver work as a developer, reviewer, and tester of features of medium complexity, from design to execution.
</li><li>Help manage the complexities of delivering features&mdash;slicing stories and epics, defining tasks, and exposing dependencies and risks. 
</li></ul> 
https://engineering.salesforce.com/engineering-hyperforces-front-door-how-ingress-gateway-powers-100-billion-daily-requests/
Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
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Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
For Washington-based roles, the base salary hiring range for this position is $125,700 to $216,700.
For California-based roles, the base salary hiring range for this position is $137,100 to $236,500.</div>

Software Engineering SMTS

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